Senior AI Engineer

• We design and implement end-to-end AI/ML solutions from development through to deployment and monitoring.
• We build scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks.
• We implement MLOps frameworks, governance, and best practices.
• We translate business requirements into cloud-native AI and data architectures across Azure, AWS, and GCP.
• We collaborate with technical and non-technical stakeholders to deliver measurable business value.
• We support innovation initiatives, reusable assets, thought leadership, and client proposals.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Kubernetes
• Architect
• LLM
• Machine Learning

• We are looking for an experienced AI professional with strong expertise in AI Engineering, MLOps, and cloud-native AI platforms.
• We expect hands-on experience with technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker, and CI/CD tooling.
• We require proven experience designing and delivering AI/ML solutions at scale.
• We value strong knowledge of Generative AI, Agentic AI, and modern AI engineering frameworks.
• We need experience with at least one major cloud platform, including Azure, AWS, or GCP.
• We prefer candidates with experience in a major consulting firm and/or in industry.
• We are looking for someone with a strong consulting mindset and experience engaging senior stakeholders.
• You must have resided in the UK for the last 5 years to apply for this role.

We are a leading global consultancy with a growing Data and AI practice, delivering innovative AI solutions for major enterprise clients. This is a full-time permanent role based in Glasgow, London, or Manchester, with hybrid working of 1-2 days per week in the office. We offer a competitive package including benefits, training, and bonus, alongside strong career progression and the opportunity to work on high-profile client engagements.